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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Decision Making OODA Loop |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 4-8 h initial, dann iterativ | 15-60 min je Zyklus | 1-2 h | 1-4 Wochen |
Participantsdifferent | 1-6 | 1-8 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Situation Assessment, Decision Loop, Action Updates | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | Knowledge graphModelingSemantic | DecisionChangeLearningStrategy | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |